Evidence map›Paper›PMID 41751711›Full record

ArticleEntropy (Basel, Switzerland)2026

Internet Penetration and Leisure Activity Entropy: A Macro-Micro Integrated Analysis.

Hanzun Li, Jianhua Dai

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hanzun LiBusiness School, China University of Political Science and Law, Beijing 100088, China.ORCID 0009-0008-6529-8457
Jianhua DaiBusiness School, China University of Political Science and Law, Beijing 100088, China.

Funding

Key Project of Social Science Academic Societies, National Social Science Fund of China 25SGB013
6 · The paper itself

Abstract

Amid debates over internet penetration's impact on leisure diversity-"macro-level entropy increase" vs. "micro-level entropy reduction"-this study explores their intrinsic link by introducing Shannon's information entropy theory and constructing a three-tier framework ("micro-individual decision-making-macro-regional growth-macro-micro linkage"). Using microdata from the China General Social Survey and macro data from the China Economic and Financial Research Database, we adopt a multi-method approach (benchmark regression, mediation/nonlinear analysis) to test hypotheses. Key findings: micro-level internet penetration boosts individual leisure entropy; macro-level impact may follow an inverted U-shape, mediated by micro-level internet use; the entropy-increasing effect is strongest for learning-oriented leisure, weakest for social-oriented leisure; education, income, and internet penetration are core configurational conditions. This study contributes a quantitative leisure diversity framework, an integrated macro-micro model, and insights into the nonlinearities of internet penetration.

Indexed as

information entropyinternet penetrationleisure activitiesmacro-micro integrated analysisnonlinear effects

Identifiers

PMID41751711
PMCPMC12939687

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.